Systems Software Engineer - Machine Learning Ops

Role responsibilities

Design and optimize high-performance C++ systems for AI data pipelines and evaluation workflows. Develop full-stack tooling and backend services for large-scale data annotation and quality control.

Requirements

Requires 5+ years of professional experience in production C++ and a strong systems programming background. Candidates must be fluent in English and experienced with ML framework frontends or inference runtimes.

Key skills

C++, Systems Programming, Machine Learning Ops, Data Pipelines, Full-stack Development, Hardware Acceleration APIs, Distributed Systems, Performance Profiling, Debugging, Systems Reliability Engineering, Model Inference, Backend Services

Keywords

C++, MLOps, AI, Data Pipelines, Inference Runtimes, Hardware Acceleration, Distributed Systems, Performance Profiling, Systems Engineering, Data Annotation, Backend Services, Full-stack, Model Training, Benchmarking, Production-grade Systems